Clarip is a privacy governance platform that automates data mapping, consent management, and subject rights requests to ensure compliance with regulations like CCPA and GDPR. The platform analyzes vast amounts of data to prevent PII leakage and enhance privacy notices, helping enterprises maintain customer trust and uncover new revenue opportunities.
Funding
$680K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face increasing complexity in managing data privacy and complying with regulations like CCPA and GDPR. Identifying and controlling the flow of Personally Identifiable Information (PII) across diverse data sources is challenging, leading to potential data leakage and compliance violations. Managing user consent and fulfilling Data Subject Access Requests (DSARs) further strains resources and increases operational overhead.
Solution
Clarip offers a privacy governance platform that automates key aspects of data privacy management, enabling organizations to achieve and maintain compliance. The platform analyzes data across various sources to discover PII, assess data risks, and prevent data leakage. It provides tools for managing user consent and preferences, ensuring that data processing aligns with individual choices. Clarip also streamlines the DSAR process, allowing organizations to efficiently respond to user requests for data access, correction, or deletion.
Target Audience
Clarip targets enterprise organizations that need to comply with data privacy regulations such as CCPA and GDPR and require a comprehensive platform to manage data privacy risks and user consent.
Features
- Automated data discovery and mapping to identify PII across diverse data sources
- Risk intelligence dashboards to visualize data risks and potential compliance gaps
- Consent management platform to capture and manage user preferences for data processing
- DSAR portal to automate the process of receiving, processing, and fulfilling data subject requests
- Privacy notice analysis to identify gaps and ensure transparency
- Hybrid AI engine to analyze billions of data points and automate privacy tasks
- Integration with existing systems through APIs for seamless data exchange